Luigi Occhipinti

Director of Research, Professor

University of Cambridge

United Kingdom

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Luigi Occhipinti is a Director of Research and Professor at the University of Cambridge, UK. His research areas include wearable technology, machine learning applications in biomedical devices, and innovative sensing strategies, as evidenced by his recent publications on hand gesture recognition, strain sensing, and silent speech interfaces. He aims to integrate advanced techniques in artificial intelligence and materials science to enhance the capabilities of wearable systems and environmental monitoring devices.

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Collaborators (14)

Joseph Andrews

University of Wisconsin-Madison

UNITED STATES

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Vincenzo Pecunia

Associate Professor

Simon Fraser University - Surrey

CANADA

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Dong‐Wook Shin

SOUTH KOREA

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HANLEEM LEE

Gwangju Institute of Science and Technology

SOUTH KOREA

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Jong H. Kim

Ajou University

SOUTH KOREA

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Dongfang Liang

University of Cambridge

UNITED KINGDOM

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Pedro Barquinha

Associate Professor; main courses: Nanofabrication and Nanostructures Characterization, Microelectronics, Flat Panel Displays

PORTUGAL

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Tse Nga Ng

University of California, San Diego

UNITED STATES

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Rui Igreja

Universidade de Aveiro

PORTUGAL

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Jong Min Kim

University of Cambridge

UNITED KINGDOM

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Chaoqun Dong

Tenure-track Assistant Professor

Columbia University in the City of New York

UNITED STATES

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Geon-Hyoung An

University of Oxford

UNITED KINGDOM

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Shaoping Bai

Aalborg University

DENMARK

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Julian Gardner

Professor of Electronic Engineering

University of Warwick

UNITED KINGDOM

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Luigi Occhipinti

Research Interests

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Articles (26)

Real-Time Hand Gesture Classification Using Infrared Sensor Arrays-Based Wearable Bracelet and Efficient 1-D Convolutional Neural Network

Simultaneous Isotropic Omnidirectional Hypersensitive Strain Sensing and Deep Learning‐Assisted Direction Recognition in a Biomimetic Stretchable Device

A Systematic Review of Sensing and Control Strategies of Wearable Active Ankle Exoskeletons/Exosuits, With Performance Assessment Based on a Complexity Index

Wireless Silent Speech Interface Using Multichannel Textile EMG Sensors Integrated Into Headphones

Roadmap on printable electronic materials for next-generation sensors

Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications

Finite Element Simulation Model of Metallic Thermal Conductivity Detectors for Compact Air Pollution Monitoring Devices

Memristor-based adaptive neuromorphic perception in unstructured environments

Ultrasensitive textile strain sensors redefine wearable silent speech interfaces with high machine learning efficiency

Universal Murray’s law for optimised fluid transport in synthetic structures

Machine Learning-Assistant Colorimetric Sensor Arrays for Intelligent and Rapid Diagnosis of Urinary Tract Infection

EMG-Based Human Motion Analysis: A Novel Approach Using Towel Electrodes and Transfer Learning

A roadmap for the development of human body digital twins

Real-time, noise and drift resilient formaldehyde sensing at room temperature with aerogel filaments

Efficient Hand Gesture Recognition Using Artificial Intelligence and IMU-Based Wearable Device

Modeling and Optimization of Energy Harvesters for Specific Applications Using COMSOL and Equivalent Spring Models

From brain to movement: Wearables-based motion intention prediction across the human nervous system

WMNN: Wearables-Based Multi-Column Neural Network for Human Activity Recognition

Truly form-factor-free industrially scalable system integration for electronic textile architectures with multifunctional fiber devices

Smart textile lighting/display system with multifunctional fibre devices for large scale smart home and IoT applications

Optoelectronic system and device integration for quantum-dot light-emitting diode white lighting with computational design framework

Unencapsulated and washable two-dimensional material electronic-textile for NO2 sensing in ambient air

Coexistence of Contact Electrification and Dynamic p–n Junction Modulation Effects in Triboelectrification

Engineering Core Size of InP Quantum Dot with Incipient ZnS for Blue Emission

Color controllable smart white lighting based on various device architectures of electrically driven quantum-dot light-emitting diodes

Machine Learning Methods for Automatic Silent Speech Recognition Using a Wearable Graphene Strain Gauge Sensor

Collaborators (14)

Joseph Andrews

Vincenzo Pecunia

Dong‐Wook Shin

HANLEEM LEE

Jong H. Kim

Dongfang Liang

Pedro Barquinha

Tse Nga Ng

Rui Igreja

Jong Min Kim

Chaoqun Dong

Geon-Hyoung An

Shaoping Bai

Julian Gardner

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